AI Research Engineer

Join Graphcore, a leading AI hardware company, as an AI Research Engineer. In this role, you will contribute to the advancement of AI research, investigate new ideas, and work closely with researchers to generate ideas and translate them into scalable implementations. You will also collaborate with silicon and software engineers to help define, build, and test Graphcore's next generation of AI hardware. Enjoy a supportive and collaborative team environment, flexible working arrangements, private medical insurance, a pension plan, and opportunities for learning and development.

• Contribuer à l'avancement de la recherche en intelligence artificielle en concevant, en mettant en œuvre et en évaluant des expériences.
• Collaborer avec des chercheurs, des ingénieurs en silicium et des ingénieurs en logiciels pour définir, construire et tester la prochaine génération de matériel d'IA de Graphcore.
• Préparer, soumettre et présenter votre travail lors de conférences et d'ateliers sur l'IA.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution
• Capable of designing, executing and reporting from ML experiments
• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry)
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX
• Mathematics skills to support the above: calculus, probability theory and linear algebra
• Experience submitting papers to international scientific conferences or workshops